Figure REF  again shows the same area as in Figure REF  for training epochs 1, 10 and 50. As the training progresses we see the image is gradually sharpened, an effect of the adversarial loss [1]}. We note that even in epoch 1, the “colors” of snow appear to have been learnt by the cycleGAN already, as the image is already vastly different to the original non-snowy image (shown in Figure REF (a)). We show in the right-most column the L1 norm between all three bands of the cycleGAN transformed image in order to highlight artifacts generated by the GAN and show how these disappear as the training progresses.
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